scholarly journals SOFA score and short-term mortality in acute decompensated heart failure

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Adi Elias ◽  
Reham Agbarieh ◽  
Walid Saliba ◽  
Johad Khoury ◽  
Fadel Bahouth ◽  
...  

AbstractAcute decompensated heart failure (ADHF) is one of the leading causes for hospitalization and mortality. Identifying high risk patients is essential to ensure proper management. Sequential Organ Function Assessment Score (SOFA) is considered an excellent score to predict short-term mortality in sepsis and other life-threatening conditions. To assess the capability of SOFA score in predicting short-term mortality in ADHF. We retrospectively identified patients with first hospitalization with primary diagnosis of ADHF between the years (2008–2018). The SOFA score was calculated for all patients. A total 3232 patients were included in the study. The SOFA score was significantly associated with in-hospital mortality and 30-day mortality. The odds ratios for 1-point increase in the SOFA score were 1.86 (95% CI 1.68–1.96) and 1.627 (95% CI 1.523–1.737) respectively. The SOFA Score demonstrated a good predictive accuracy. The areas under the curve of receiver operating characteristic curves for in-hospital mortality and 30-day mortality were 0.765 (95% CI 0.733–0.798) and 0.706 (95% CI 0.676–0.736) respectively. SOFA score is associated with increased risk of short-term mortality in ADHF. SOFA can be used as a complementary risk score to screen high risk patients who need strict monitoring.

Author(s):  
Sebastian Feickert ◽  
Giuseppe D’Ancona ◽  
Monica Murero ◽  
Hüseyin Ince

Abstract Background  Heart failure patient management guided by invasive intra-cardiac and pulmonary pressure measurements through permanent intra-cardiac micro-sensors has recently been published as a strategy to individualize the therapy of patients with chronic heart failure to reduce re-hospitalization and optimize quality of life. Furthermore, the use of telemedicine could have an important impact on infective disease spread during the current coronavirus disease-2019 pandemic. Case summary  Emergent hospitalization of a patient with acute on chronic heart failure, who is currently in self-isolation as a result of his comorbid profile that exposes him to high risk for severe course and mortality in case of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection was prevented using a last generation telemedicine tool. Discussion  Further implementation of invasive telemedicine could prevent hospitalization for acute decompensated heart failure and consecutive exposure to a potential hospital infection with SARS-CoV-2 in high-risk patients.


2019 ◽  
Vol 25 (8) ◽  
pp. S109
Author(s):  
Victoria Thomas ◽  
Andrew Nagel ◽  
Rebecca Kafer ◽  
Cathy Schubert ◽  
Roopa Rao

Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 2861-2861 ◽  
Author(s):  
Hervé Dombret ◽  
Jean-Valère Malfuson ◽  
Anne Etienne ◽  
Pascal Turlure ◽  
Thierry de Revel ◽  
...  

Abstract Aims and methods. We have recently reported results of intensive chemotherapy in 416 patients with AML aged 65 years or more (median, 72 years) treated in the ALFA-9803 trial (Gardin et al., Blood 2007). We show here the impact of pretreatment characteristics on short-term mortality in these patients (32% at 6 months in the whole population). A first objective was to evaluate the prognostic value of the Charlson Comorbidity Index (CCI) and Sorror Hematopoietic Cell Transplantation Comorbidity Index (HCTCI), but the main objective was to screen the most frequent characteristics individually or in combination, including comorbidities, for their sensitivity in short-term mortality prediction. The aim was to propose decision criteria to advice against the intensive approach in high-risk patients, defined here by the presence of at least one characteristic associated with a probability of death at 6 months of 50% or more. Value of comorbidity scores. Both comorbidity scores correlated pretty well (CCI 0/1/2 = 353/57/6; HCTCI 0/1/2/3+ = 268/85/42/21; P<0.001), but only HCTCI was predictive of mortality (P<0.001). Other independent factors were age, PS, and cytogenetics. As all these patients were previously selected as suitable for intensive chemotherapy, only four HCTCI comorbidities were, however, relatively frequent (prevalence ≥ 5%): coronary artery disease (10%), arrhythmia (8%), infection (8%), and diabetes (7%). Impact on mortality was only due to the demarcation of very few high-risk patients (N=21) limiting the clinical interest of HCTCI in treatment decision making. Of note, HCTCI did not correlate with advanced age or PS in this patient population. Definition of decision criteria. Further analysis of the predictive value of each characteristic or combination identified three decision criteria, each being predictive of 6-month mortality ≥ 50% (Table 1): high-risk cytogenetics, pre-treatment documented infection, and PS ≥ 2 if age ≥ 75 years. Taken together, these 3 criteria, which were validated in an independent set of 123 patients, allowed to demarcate 94 high-risk patients (23%) with a probability of death at 6 months of 57%, as compared to 26% in the remaining patients (P<0.001, by log-rank test). We propose thus to add these criteria to usual eligibilty criteria in order to better define the population of older AML patients who will draw a significant benefit from intensive chemotherapy. Table 1. Short-term mortality associated with most frequent Characteristic. Characteristic Prevalence Median OS (mo) 6-month mortality High-risk cytogenetics 12% 4.8 64% Documented infection 8% 4.7 63% PS≥2 and age≥75 years 7% 2.9 54% PS≥2 27% 7.0 47% Age≥75 years 20% 7.9 42% Coronary artery disease 10% 6.8 43% Diabetes 7% 14.2 41% Arrhythmia 8% 14.6 31% Post–MDS AML 15% 10.6 29%


2021 ◽  
Vol 10 (Supplement_1) ◽  
Author(s):  
F Todd ◽  
C Wong ◽  
L Hewitson ◽  
A Mohamed ◽  
J Doolub ◽  
...  

Abstract Funding Acknowledgements Type of funding sources: None. Background Acute decompensated heart failure carries a poor prognosis and places a significant burden on healthcare resources. Our ability to predict patients at high risk of deterioration is limited. The Rockwood Clinical Frailty Scale (CFS) is an established frailty screening tool that stratifies patients on a nine-point scale ranging from 1 (very well) to 9 (terminally ill) providing a useful measure of physiological reserve. CFS is used extensively for general prognostication in geriatric populations, yet its impact on mortality specifically in patients admitted with acute heart failure remains sparsely investigated. Purpose We performed a retrospective cohort study to investigate the prognostic role for CFS for short term mortality in patients admitted with acute heart failure. Methods Over a period of 16 weeks (7th January – 27th April 2020), 283 consecutive patients presenting to our hospital with signs and symptoms of acute heart failure were identified. Discharge summaries, electronic notes and shared care networks were manually searched for each patient to determine frailty score, baseline demographics, admission bloods and co-morbidity indices. Short term mortality at 30 days was recorded from electronic hospital and GP records. Univariate and multivariate Cox regression analysis was performed to identify clinical and biochemical predictors of mortality. Results In total, 283 patients were admitted with acute heart failure over the study period (mean age 81+/-10 years, 46% female. The mean CFS score was 5+/-1 and mean Charlson Comorbidity Index score 8+/-3. 15% of patients died within 30 days. On univariate analysis age, creatinine, Charlson Comorbidity Index and CFS were associated with prognosis. On multivariate analysis, only CFS was found to be an independent predictor of mortality (hazard ratio 1.36, p = 0.029). Conclusion This study demonstrates a clear relationship between increasing frailty score and short-term mortality in acute heart failure. The CFS is a rapid and easily accessible screening tool used widely throughout the UK. This work highlights its potential for use alongside other parameters in prognostication of patients presenting with acute decompensated heart failure. Further work is needed to explore the impact on longer term mortality and to determine practical implementation in this setting. Abstract Figure.


2010 ◽  
Vol 34 (4) ◽  
pp. 445 ◽  
Author(s):  
Ian A. Scott

Background.Unplanned readmissions of recently discharged patients impose a significant burden on hospitals with limited bed capacity. Deficiencies in discharge processes contribute to such readmissions, which have prompted experimentation with multiple types of peridischarge interventions. Objective.To determine the relative efficacy of peridischarge interventions categorised into two groups: (1) single component interventions (sole or predominant) implemented either before or after discharge; and (2) integrated multicomponent interventions which have pre- and postdischarge elements. Design.Systematic metareview of controlled trials. Data collection.Search of four electronic databases for controlled trials or systematic reviews of trials published between January 1990 and April 2009 that reported effects on readmissions. Data synthesis.Among single-component interventions, only four (intense self-management and transition coaching of high-risk patients and nurse home visits and telephone support of patients with heart failure) were effective in reducing readmissions. Multicomponent interventions that featured early assessment of discharge needs, enhanced patient (and caregiver) education and counselling, and early postdischarge follow-up of high-risk patients were associated with evidence of benefit, especially in populations of older patients and those with heart failure. Conclusion.Peridischarge interventions are highly heterogenous and reported outcomes show considerable variation. However, multicomponent interventions targeted at high-risk populations that include pre- and postdischarge elements seem to be more effective in reducing readmissions than most single-component interventions, which do not span the hospital–community interface. What is known about this topic?Unplanned readmissions within 30 days of hospital discharge are common and may reflect deficiencies in discharge processes. Various peridischarge interventions have been evaluated, mostly single-component interventions that occur either before or after discharge, but failing to yield consistent evidence of benefit in reducing readmissions. More recent trials have assessed multicomponent interventions which involve pre- and postdischarge periods, but no formal review of such studies has been undertaken. What does this paper add?With the exception of intense self-management and transition coaching of high-risk patients, and nurse home visits and telephonic support for patients with heart failure, single-component interventions were ineffective in reducing readmissions. Multicomponent interventions demonstrated evidence of benefit in reducing readmissions by as much as 28%, with best results achieved in populations of older patients and those with heart failure. What are the implications for practitioners and managers?Hospital clinicians and managers should critically review and, where appropriate, modify their current discharge processes in accordance with these findings and negotiate the extra funding and personnel required to allow successful implementation of multicomponent discharge processes that transcend organisational boundaries.


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